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Monk Launches Cash Application 2.0, Automating 80% of Payment Matching with a Fully Auditable AI Engine

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New lockbox and check upload recovers the payment detail bank feeds strip out, and a three-tier matching architecture applies every payment with a full audit trail.

NEW YORK, July 16, 2026 /PRNewswire/ — Monk, the AI-native accounts receivable platform, today announced Cash Application 2.0, a rebuilt cash application experience that pairs a three-tier matching architecture with new lockbox and check upload. The release targets one of the least automated and most time-consuming jobs in finance: matching incoming payments to open invoices.

The stakes are high. Roughly $10 trillion sits in unpaid invoices globally, and the average invoice now takes 59 days to clear, according to Allianz. Much of that delay comes from a step that is still largely manual: matching incoming payments to the right invoices. In a recent NACM and BlackLine survey, 44% of organizations said they still rely on little to no automation to manage remittance data spread across emails, PDFs, portals, and lockboxes.*** When a lockbox deposit arrives as a single lump sum, or one check covers six invoices at once, the detail needed to match it is missing, and the work falls back on finance teams.

The launch lands as finance leaders come under pressure to prove their AI investments work. According to Gartner, a June 2025 survey of 183 CFOs found that 84% of finance organizations have implemented or are planning to implement AI, yet only 7% report a high or very high impact.* Speaking at the Gartner Finance Symposium/Xpo 2026 in London, Ash Mehta, Sr Director Analyst in the Gartner Finance practice, said: “Organizations that succeed with AI are not necessarily smarter, luckier or better funded. Rather, they follow a structured and disciplined roadmap that connects finance AI initiatives to business outcomes.” Gartner advises CFOs to “identify 3-5 use cases to pilot at a time” rather than spreading effort thin.**

Cash application fits that profile: bounded, high-volume, and tied to a number every CFO tracks. It is where agentic AI creates measurable value for a finance team, because the result shows up in cash applied, invoices closed, and hours returned.

“A lot of AI in finance stops at the demo,” said George Kurdin, founder and CEO of Monk. “The teams getting real value picked one painful, high-volume process and automated it end to end, with an audit trail finance can stand behind. Cash application is that process. It is complex, it maps to a number every CFO watches, and until now it was mostly done by hand. We automated it in a way finance can trust.”

How Monk cash application works: three matching tiers

Financial data must be accurate every time. Monk built three matching tiers, each with a different tolerance for risk. Tier one is deterministic matches, applied automatically at full confidence with no LLM involved. Tier two is custom rules, deterministic and specific to each customer’s business, which Monk now suggests based on the patterns it observes. Tier three is a background agent that runs daily over transaction and invoice data, handles the cases the first two tiers cannot encode, learns from every manual match, and improves over time.

The automated match rate for cash application is 80% and trending up. Every match shows its reasoning and keeps a full audit trail, so customers can see exactly how each decision was made.

“Finance automation cannot run on a guess,” said Brodie Marshall, Founding Engineer at Monk. “We built cash application so every match is either certain or explainable, with a full audit trail behind it. Lockbox and check upload was the missing piece. It puts back the payment detail the bank feed does not show, which is where most of the hardest matches come from.”

Recovering the detail bank feeds discard

Cash Application 2.0 also fixes a long-standing problem in how payment data arrives. Most setups pull transactions from a bank feed such as Plaid or Mercury, but by the time a payment reaches the bank, the detail needed to match it has been stripped out. A lockbox deposit that was really six separate customer payments shows up as one aggregated transaction. Monk now lets customers upload lockbox files and images of checks, extracts the data, and enriches the transaction with what the feed dropped, lifting the match rate substantially.

Customers are already seeing the result on the hardest payments. “It handles the payments that used to eat up our team’s time,” said Liam Clements, Director of Finance at Goodship. “Monk’s agents have already saved us hours every week.”

Now available

Cash application, lockbox and check upload, and suggested rules are live now for Monk customers.

About Monk

Monk is an AI-native accounts receivable platform that brings together collections, cash application, and forecasting. Monk resolves 88.2% of collections with zero human intervention. Customers see a 40%+ reduction in DSO, an 80% automated match rate for cash application, and roughly 26 hours a month back across their teams. More than $1.4B in receivables is managed on the platform. Monk raised $25M to help businesses get paid fast and is based in New York. Learn more at monk.com.

Media

AR is Broken Ep. 1 | Automating Cash Application, featuring Nurah Kutty (YouTube: https://www.youtube.com/watch?v=YpzLiJ2Y0Pg)

Cash Application 2.0: Automating the Payments Everyone Matches by Hand (YouTube: https://www.youtube.com/watch?v=CHFjqohLJrA)

Blog Posts:

Introducing Cash Application 2.0 (link: https://monk.com/blog/introducing-cash-application-2-0)

Upload Remittances: recover the payment detail your bank feed throws away (link: https://monk.com/blog/cash-application-upload-remittance)

Custom Rules: Cash Application rules that build themselves (link: https://monk.com/blog/cash-application-suggested-rules)

Contact

Kendall Warson

+1 415-827-6585

kendall@monk.com | press@monk.com

* Source: Gartner, Inc. Figures cited from a Gartner press release, “Gartner Says CFOs Need Structured Finance AI Roadmaps,” June 8, 2026, referencing a June 2025 Gartner survey of 183 CFOs.

** GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with reference only. All rights reserved. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation.

*** Source: NACM and BlackLine, State of AR Automation survey.

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SOURCE Monk

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Stand8 Expands Nearshore Operations for 24×7 Enterprise IT Support

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Mexico-based delivery teams give large enterprises U.S.-aligned coverage, multilingual support, and scalable service operations

LOS ANGELES, Sept. 25, 2026 /PRNewswire/ — Stand8, a global technology consulting and services leader, today announced the expansion of its nearshore operations in Mexico to support large enterprise clients with 24×7 Service Desk, Network Operations Center, and technology operations services. The model combines specialized bilingual professionals with Stand8’s people-first, white-glove approach and integrates into clients’ existing platforms, service levels, and governance models.

Enterprises need dependable coverage across time zones, consistent service experiences, and the flexibility to scale when business demand changes. Stand8’s nearshore model extends internal teams with professionals aligned to U.S. operating hours and able to support global schedules as needed. The result is greater responsiveness, less pressure on onshore teams, and more predictable service delivery without sacrificing visibility or control.

“Enterprise support should feel seamless to end users and dependable to the leaders accountable for it,” said Bryce Prunty, Executive Vice President at Stand8. “Our Mexico operation gives clients access to specialized people and continuous coverage aligned to their business, with the governance, transparency, and high-touch service needed to operate at scale.”

Enterprise Nearshore Support Built to Scale

24×7 Service Desk and NOC coverage aligned to U.S. and global operating hoursDirect integration with enterprise platforms and client-specific tools, workflows, and reportingEscalation coordination and service delivery aligned to client SLAs and governanceScalable teams that can expand with volume, geography, or new operational needs

Stand8 is already applying the expanded Mexico operation in complex enterprise environments. Current engagements include 24×7 multilingual Service Desk support for leading global media and entertainment organizations and 24×7 NOC managed services for a global communications infrastructure provider. In each case, Stand8 teams work within established client workflows, tools, escalation paths, and operating requirements.

Clients can add adjacent capabilities as their needs evolve while maintaining a consistent delivery relationship.

About Stand8

Stand8 is a global technology consulting and services leader that helps businesses transform and scale through tailored IT solutions. With a 99% client retention rate and more than 15 years of results, Stand8 integrates seamlessly into client operations while delivering secure, compliant, and personalized technology services.

For more information, visit stand8.io.

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SOURCE Stand 8

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LUG Sports Group Named One of Canada’s Top Growing Companies for Second Consecutive Year

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TORONTO, Sept. 25, 2026 /CNW/ — LUG Sports Group Inc. (“LUG”), one of North America’s largest recreational sports leagues, announced today that it has ranked No. 146 out of 375 companies on the 2026 Report on Business magazine’s list of Canada’s Top Growing Companies. This marks LUG’s second straight year on the list. LUG also was ranked No. 5 on the Arts, Entertainment, and Recreation list.

Canada’s Top Growing Companies ranks Canadian businesses on three-year revenue growth. LUG earned its spot with a 174% growth rate over the past three years and a 239% growth rate over five years.

LUG reimagines recreational sports for college students and young adults, running leagues in hockey, women’s hockey, flag football, softball, soccer, lacrosse and pickleball. Every league is built around pro-level energy, standout content, and a community that extends well beyond game day. With more than 150,000 players all time across 85+ cities, LUG is North America’s go-to destination for adult and college social sports leagues.

“Making this list once was a milestone. Making it two years in a row is validation in the consistency of what we are trying to create,” said Ethan Wright and Ray Abramson, Presidents and Co-Founders of LUG Sports. “For more than a decade, we’ve grown LUG across college campuses and cities with one goal: give every player a premium, social sports experience that makes the average joe feel like a pro. This recognition belongs to our players, our community, and our HQ team that keeps raising the bar.”

With an expanded head office team and scalable infrastructure in place, LUG is well positioned to continue driving their brand in the fragmented adult sports market. As AI becomes increasingly embedded in everyday life, the value of real-world experiences, genuine connection, and community will only grow. LUG creates that “third space” for Millennials and Gen Z today, with Gen Alpha not far behind, positioning the brand to lead the next generation of social sports.

About LUG Sports Group

LUG Sports Group Inc. is one of North America’s largest recreational sports leagues, with more than 25,000 active players across 85+ cities. LUG builds sports programs for college students, with active leagues at 100+ campuses, before transitioning players into adult programming.

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SOURCE LUG sports Group Inc

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AI Apps and Agents Are Taking Off. Gen Can Help People Understand What Happens to Their Data.

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Gen data shows nearly 1/3 of people use AI apps and agents, as the company expands its Agent Trust Hub with the new AI Data Checker

MOUNTAIN VIEW, Calif., Sept. 25, 2026 /PRNewswire/ — AI is moving beyond answering questions. Increasingly, people are asking AI to act on their behalf, from researching purchases and planning trips to managing everyday tasks and handling their finances. New telemetry from Gen (NASDAQ: GEN) shows just how quickly that shift is happening, with nearly one in three desktop users now interacting with agentic AI services.

Today, Gen is responding to that shift with the beta launch of AI Data Checker, developed by the Gen AI Foundry, the company’s hub for emerging AI innovation. The latest tool from its Agent Trust Hub, AI Data Checker is designed to make it easier for people to understand how popular AI apps and agents handle their data. 

As AI becomes more capable, people are also being asked to place more trust in it. Agents are increasingly accessing personal information, preferences, browsing activity, or other data to complete tasks. Yet it is not always easy for people to understand what information an AI service collects, how that information may be used, or what choices they have.

Gen created the Agent Trust Hub (ATH) to close that gap, giving people greater visibility, understanding and control as they use AI assistants and agents. Since launching in February, the ATH has expanded to include VPN for Agents, the industry’s first AI-native VPN purpose-built for autonomous agents, and Sage, the first consumer agentic security layer available through Norton AI Agent Protection in Norton 360.

With AI Data Checker, Gen is expanding that work from protecting how agents operate to helping people better understand the data relationship behind the AI tools they use.

Making AI privacy easier to understand
The AI Data Checker brings information about AI data practices into one place, helping people explore what different AI services may collect and how their information may be used.

People can simply enter their email or username, and the AI Data Checker will provide a list of connected AI apps and services the person uses. The tool also scans for non-AI accounts where you may have connected and potentially shared personal information. From there, people can see what information or data the service collects, whether information may be used to improve or train AI models, how long information may be retained, and what privacy controls are available.

Rather than expecting people to read lengthy privacy policies or become experts in AI data practices, the AI Data Checker is intended to give them a clearer starting point.

“AI is becoming much more personal because we’re asking it to do more for us,” said Howie Xu, Chief AI & Innovation Officer at Gen. “That can be incredibly useful, but people should understand what they’re giving an AI access to in return. The AI Data Checker is about making that easier to see, so people can make choices about the AI tools they use with more confidence.”

From understanding AI to protecting people using it
Visibility is just one part of building trust in AI, but it needs to go hand-in-hand with protection. Gen’s family of brands already offer a number of products that protect against AI scams and the dangers of agentic AI, including Norton Genie Scam Detector, Norton AI Agent Protection, Deepfake Detection in the Norton and Avast brands, and other products and features. That protection is expanding as people look for AI assistants they can trust with more of their digital lives. The new Norton Family Assistant, for example, is a private AI assistant, supported by Norton technology, that can handle tasks with your permission and manage your digital life.

Gen also offers those who are interested to sign up for early access to upcoming products and services designed to address some of the emerging concerns as people increasingly rely on AI assistants and agents.

The AI Data Checker is available now at https://ai.gendigital.com/ where you can also sign up for early access to Gen’s tools designed to help people live fearlessly in the AI world. 

About Gen
Gen (NASDAQ: GEN) is a global company dedicated to powering Digital Freedom through its trusted consumer brands including Norton, Avast, LifeLock, MoneyLion and more. The Gen family of consumer brands is rooted in providing financial empowerment and cyber safety for the first digital generations. Today, Gen empowers people to live their digital lives safely, privately and confidently for generations to come. Gen brings award-winning products and services in cybersecurity, online privacy, identity protection and financial wellness to millions of people in more than 150 countries. Learn more at GenDigital.com.

About Gen AI Foundry
Rooted in Gen’s commitment to safety and transparency, the Gen AI Foundry is the engine behind its most recent AI innovations, from AI-powered security experiences to autonomous financial helpers and identity agents. It also serves as the place where core trust infrastructure is developed and operationalized, including the Agent Trust Hub, extending protection across the agent lifecycle from verification to execution. Here, Gen’s AI strategy becomes real through visible ventures, prototypes, working products, partnerships and an open ecosystem designed to shape and secure the AI era with and for both people and agents. 

Media Contact
Brittany Posey
Gen
Press@GenDigital.com

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SOURCE Gen Digital Inc.

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